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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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of rural communities toward resilient, inclusive and climate-smart business models. The focus of this PhD will be on modelling and assessing the sustainability and macroeconomic implications
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plasma physics and space weather forecasting. The RIB-Wind project aims to overcome key limitations in current heliospheric models, which typically rely on empirical assumptions to define inner boundary
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landscape conditions before fires and (2) quantify vegetation and biomass changes after fires. Satellite and airborne observations—spanning optical, thermal, radar, and lidar modalities—offer comprehensive
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for these ships operations at typical conditions and emergencies. The simulation results will be used to develop innovative XR training solutions for the next-generation zero-emissions vessels. You should have a
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to adapt to multidisciplinary environments and a focus on professional growth and development. Desirable requirements Good knowledge of quantitative methods (econometric models, time series econometric and
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data